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  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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  • Displaying 12 results
    NVIDIA Developer Program
    Google
    Google
    AlphaFold2
    A widely used model for predicting the 3D structures of proteins from their amino acid sequences.
    Container
    NVIDIA
    NVIDIA
    NVIDIA Parabricks
    NVIDIA Parabricks is an accelerated compute framework that supports applications across the genomics industry, primarily supporting analytical workflows for DNA, RNA, and somatic mutation detection applications.
    Container
    NVIDIA
    NVIDIA
    PyG
    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
    Container
    NVIDIA Developer Program
    arc
    Evo 2 40B
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    NVIDIA Developer Program
    Google
    Google
    AlphaFold2-Multimer
    A widely used model for predicting the 3D structures of proteins from their amino acid sequences. This version of the container supports multimers, i.e. proteins made up of 2 or more polypeptide chains.
    Container
    NVIDIA Developer Program
    arc
    Evo 2
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    NVIDIA
    NVIDIA
    DeepSap
    DeepSAP is a transformer-based workflow designed to enhance splice junction detection in RNA-seq data.
    Container
    NVIDIA Clara Parabricks
    NVIDIA Clara Parabricks
    Container for Training Parabricks DeepVariant
    This container is used for running the data preprocessing part of DeepVariant Training pipeline including make_examples and shuffle
    Container
    NVIDIA
    NVIDIA
    NVIDIA Parabricks Amazon Linux
    The Parabricks container based on Amazon Linux 2
    Container
    NVIDIA
    NVIDIA
    Parabricks Umi_Fgbio
    Parabricks Umi_Fgbio is a pipeline that processes sequencing reads with molecular barcodes, and provides impressive error correction and increased accuracy using a sequencing consensus read level.
    Container
    NVIDIA
    NVIDIA
    Parabricks DeepVariant Retraining Notebook
    This notebook shows how to retrain DeepVariant models using Parabricks.
    Resource
    NVIDIA
    NVIDIA
    CodonFM Encodon
    CodonFM predicts masked codons in mRNA sequences from codon-level context to enable variant effect interpretation and codon optimization
    Model